research-article

Identifying salient points

Authors:

J. P. Lewis,

Ken AnjyoAuthors Info & Claims

SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Sketches

Article No.: 41, Page 1

https://doi.org/10.1145/1667146.1667198

Published: 16 December 2009 Publication History

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Abstract

The definition of "important" or salient points on a shape is an old and fundamental problem in computer graphics. Important points, which we will term key points, can be used for representing a shape (e.g. as vertices of a polyline or as knots of a spline). Key points that correspond to perceptually salient points are useful as handles for editing. Key points are also good points to retain in simplifying a shape.

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[1]

D. Douglas and T. Peucker, Algorithms for the reduction of the number of points required to represent a digitized line or its caricature, Canadian Cartographer, 10(2), 1973.

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Roberts RLewis JAnjyo KSeo JSeol Y(2019)Optimal and interactive keyframe selection for motion captureComputational Visual Media10.1007/s41095-019-0138-z5:2(171-191)Online publication date: 13-Apr-2019
https://doi.org/10.1007/s41095-019-0138-z
Zeng LLiu YWang JZhang DYuen M(2014)CAD/Graphics 2013Computers and Graphics10.1016/j.cag.2013.10.01738(69-77)Online publication date: 1-Feb-2014
https://dl.acm.org/doi/10.1016/j.cag.2013.10.017
Boros�n PJin MDeCarlo DGingold YNealen A(2012)RigMeshACM Transactions on Graphics10.1145/2366145.236621731:6(1-9)Online publication date: 1-Nov-2012
https://dl.acm.org/doi/10.1145/2366145.2366217

Index Terms

Identifying salient points
1. Computing methodologies
2. Theory of computation
  1. Randomness, geometry and discrete structures
    1. Computational geometry

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Published In

SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Sketches

December 2009

45 pages

ISBN:9781450379366

DOI:10.1145/1667146

Program Chair:
Ken Anjyo
OLM Digital

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 16 December 2009

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SA09: SIGGRAPH ASIA 2009

December 16 - 19, 2009

Yokohama, Japan

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Roberts RLewis JAnjyo KSeo JSeol Y(2019)Optimal and interactive keyframe selection for motion captureComputational Visual Media10.1007/s41095-019-0138-z5:2(171-191)Online publication date: 13-Apr-2019
https://doi.org/10.1007/s41095-019-0138-z
Zeng LLiu YWang JZhang DYuen M(2014)CAD/Graphics 2013Computers and Graphics10.1016/j.cag.2013.10.01738(69-77)Online publication date: 1-Feb-2014
https://dl.acm.org/doi/10.1016/j.cag.2013.10.017
Boros�n PJin MDeCarlo DGingold YNealen A(2012)RigMeshACM Transactions on Graphics10.1145/2366145.236621731:6(1-9)Online publication date: 1-Nov-2012
https://dl.acm.org/doi/10.1145/2366145.2366217

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Salient object detection: From pixels to segments

Salient critical points for meshes

Discovering salient objects from videos using spatiotemporal salient region detection

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Salient object detection: From pixels to segments

Salient critical points for meshes

Discovering salient objects from videos using spatiotemporal salient region detection

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